A Machine-Learning Approach to Parameter Estimation

A Machine-Learning Approach to Parameter Estimation
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : 0996889760
ISBN-13 : 9780996889766
Rating : 4/5 (60 Downloads)

Book Synopsis A Machine-Learning Approach to Parameter Estimation by : Jim Kunce

Download or read book A Machine-Learning Approach to Parameter Estimation written by Jim Kunce and published by . This book was released on 2017-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A Machine-Learning Approach to Parameter Estimation, the sixth volume of the CAS Monograph Series, is now available for download. In this monograph, CAS Fellows Jim Kunce and Som Chatterjee address the use of machine-learning techniques to solve insurance problems. Their model can use any regression-based machine-learning algorithm to analyze the nonlinear relationships between the parameters of statistical distributions and features that relate to a specific problem. Unlike traditional stratification and segmentation, the authors' machine-learning approach to parameter estimation (MLAPE) learns the underlying parameter groups from the data and uses validation to ensure appropriate predictive powe


A Machine-Learning Approach to Parameter Estimation Related Books

A Machine-Learning Approach to Parameter Estimation
Language: en
Pages:
Authors: Jim Kunce
Categories:
Type: BOOK - Published: 2017-07-07 - Publisher:

DOWNLOAD EBOOK

A Machine-Learning Approach to Parameter Estimation, the sixth volume of the CAS Monograph Series, is now available for download. In this monograph, CAS Fellows
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
TORUS 1 - Toward an Open Resource Using Services
Language: en
Pages: 299
Authors: Dominique Laffly
Categories: Computers
Type: BOOK - Published: 2020-04-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligenc
Artificial Intelligence for Computational Modeling of the Heart
Language: en
Pages: 274
Authors: Tommaso Mansi
Categories: Science
Type: BOOK - Published: 2019-11-28 - Publisher: Academic Press

DOWNLOAD EBOOK

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digita
Model Calibration and Parameter Estimation
Language: en
Pages: 638
Authors: Ne-Zheng Sun
Categories: Mathematics
Type: BOOK - Published: 2015-07-01 - Publisher: Springer

DOWNLOAD EBOOK

This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliabili